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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Multi-Metric Benchmarking Framework for Hybrid Homomorphic Encryption in Privacy-Preserving Machine Learning

2025Zenodo (CERN European Organization for Nuclear Research)JournalOpen access

10.5281/zenodo.19603756 Full text0 citations

Authors

5 authors across 3 institutions in 1 country.

Siddiku Gwadangaji UmarFirst author
- Federal University Birnin Kebbi (NG)
as printed: Umar, S.
Zayyanu, U.
- Waziri Umaru Federal Polytechnic, Birnin Kebbi (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Ibrahim, A.
- Federal University Birnin Kebbi (NG)
Bakura, S. A.
- Federal University Birnin Kebbi (NG)
L. T. SabiuSenior author
- Federal University Birnin Kebbi (NG)
as printed: Sabiu, L. T.

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Cryptography and Data Securitylevel 3 · 0.67
Privacy-Preserving Technologies in Datalevel 3 · 0.07
Big Data and Digital Economylevel 3 · 0.05

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://openalex.org/W7154582500

Multi-Metric Benchmarking Framework for Hybrid Homomorphic Encryption in Privacy-Preserving Machine Learning · Sankore